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      Circulating Sex Hormone Levels and Colon Cancer Risk in Men: A Nested Case–Control Study and Meta-Analysis

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          Abstract

          Background:

          Endogenous sex hormones may contribute to higher colorectal cancer incidence rates in men compared with women, but despite an increased number of studies, clear evidence is lacking.

          Methods:

          We conducted a comprehensive nested case–control study of circulating concentrations of sex hormones, sex hormone precursors, and sex hormone binding globulin (SHBG) in relation to subsequent colon cancer risk in European men. Concentrations were measured using liquid LC/MS-MS in prospectively collected plasma samples from 690 cases and 690 matched controls from the European Prospective Investigation into Cancer and Nutrition (EPIC) and the Northern Sweden Health and Disease Study (NSHDS) cohorts. Multivariable conditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). In addition, we conducted a meta-analysis of previous studies on men.

          Results:

          Circulating levels of testosterone (OR, 0.68; 95% CI, 0.51–0.89) and SHBG (OR, 0.77; 95% CI, 0.62–0.96) were inversely associated with colon cancer risk. For free testosterone, there was a nonsignificant inverse association (OR, 0.83; 95% CI, 0.58–1.18). In a dose–response meta-analysis of endogenous sex hormone levels, inverse associations with colorectal/colon cancer risk were found for testosterone [relative risks (RR) per 100 ng/dL = 0.98; 95% CI, 0.96–1.00; I 2 = 22%] and free testosterone (RR per 1 ng/dL = 0.98; 95% CI, 0.95–1.00; I 2 = 0%).

          Conclusions:

          Our results provide suggestive evidence for the association between testosterone, SHBG, and male colon cancer development.

          Impact:

          Additional support for the involvement of sex hormones in male colon cancer.

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          Most cited references52

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Meta-analysis in clinical trials

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              How to perform a meta-analysis with R: a practical tutorial

              Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over the last three decades with mental health as a major research topic. It is then essential to well understand its methodology and interpret its results. In this publication, we describe how to perform a meta-analysis with the freely available statistical software environment R, using a working example taken from the field of mental health. R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses. The working example considers a binary outcome: we show how to conduct a fixed effect and random effects meta-analysis and subgroup analysis, produce a forest and funnel plot and to test and adjust for funnel plot asymmetry. All these steps work similar for other outcome types. R represents a powerful and flexible tool to conduct meta-analyses. This publication gives a brief glimpse into the topic and provides directions to more advanced meta-analysis methods available in R.
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                Author and article information

                Journal
                Cancer Epidemiol Biomarkers Prev
                Cancer Epidemiol Biomarkers Prev
                Cancer Epidemiology, Biomarkers & Prevention
                American Association for Cancer Research
                1055-9965
                1538-7755
                01 April 2022
                27 January 2022
                : 31
                : 4
                : 793-803
                Affiliations
                [1 ]Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
                [2 ]International Agency for Research on Cancer, World Health Organization, Lyon, France.
                [3 ]Department of Statistics, Umeå University, Umeå, Sweden.
                [4 ]Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
                [5 ]Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
                [6 ]Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.
                [7 ]Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
                [8 ]Cancer Registry and Histopathology Department, Provincial Health Authority (ASP 7), Ragusa, Italy.
                [9 ]Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
                [10 ]Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
                [11 ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
                [12 ]Escuela Andaluza de Salud Pública (EASP), Granada, Spain.
                [13 ]Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.
                [14 ]Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
                [15 ]Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
                [16 ]Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain.
                [17 ]Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain.
                [18 ]Navarra Public Health Institute, Pamplona, Spain.
                [19 ]Navarra Institute for Health Research (IdiSNA) Pamplona, Spain.
                [20 ]Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
                [21 ]Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
                [22 ]MRC Centre for Transplantation, Division of Transplantation Immunology and Mucosal Biology, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
                [23 ]Department of Hygiene and Epidemiology, Faculty of Medicine, University of Ioannina School of Medicine, Ioannina, Greece.
                [24 ]Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden.
                Author notes
                [* ] Corresponding Authors: Sophia Harlid, Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden. E-mail: sophia.harlid@ 123456umu.se ; and Justin Harbs, E-mail: justin.harbs@ 123456umu.se
                Author information
                https://orcid.org/0000-0003-3751-3929
                https://orcid.org/0000-0002-6509-6555
                https://orcid.org/0000-0002-0830-5277
                https://orcid.org/0000-0003-4472-1179
                https://orcid.org/0000-0003-2666-414X
                https://orcid.org/0000-0003-4817-0757
                https://orcid.org/0000-0002-9571-0763
                https://orcid.org/0000-0001-9229-2589
                https://orcid.org/0000-0002-8452-8472
                https://orcid.org/0000-0003-2237-0128
                https://orcid.org/0000-0001-5472-6761
                https://orcid.org/0000-0002-9692-101X
                https://orcid.org/0000-0001-8540-6891
                Article
                EPI-21-0996
                10.1158/1055-9965.EPI-21-0996
                9381125
                35086823
                8607a608-51d5-40c9-994a-32cff20dd54a
                ©2022 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 18 August 2021
                : 05 November 2021
                : 21 January 2022
                Page count
                Pages: 11
                Funding
                Funded by: Cancer foundation in Northern Sweden, DOI https://doi.org/10.13039/501100004886;
                Award ID: AMP 17-856
                Award ID: AMP 18-915
                Award ID: AMP 19-967
                Funded by: Lions Cancer Research Fund in Northern Sweden, DOI ;
                Award ID: LP 20-2227
                Funded by: Cancer Research UK, DOI https://doi.org/10.13039/501100000289;
                Award ID: 14136
                Award ID: C8221/A29017
                Funded by: Medical Research Council, DOI https://doi.org/10.13039/501100000265;
                Award ID: 1000143
                Award ID: MR/M012190/1
                Funded by: Swedish Research Council, DOI ;
                Award ID: VR 2017-00650
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                Research Articles

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